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Energy consumption of machine learning enhanced open RAN: A comprehensive review
X Liang, Q Wang, A Al-Tahmeesschi, S Chetty… - IEEE …, 2024 - ieeexplore.ieee.org
The Open Radio Access Network (RAN) emerges as a revolutionary architecture promising
unprecedented levels of openness, flexibility, and intelligence within radio access networks …
unprecedented levels of openness, flexibility, and intelligence within radio access networks …
A survey on sleep mode techniques for ultra-dense networks in 5G and beyond
The proliferation of mobile users with an attendant rise in energy consumption mainly at the
base station has requested new ways of achieving energy efficiency in cellular networks …
base station has requested new ways of achieving energy efficiency in cellular networks …
An efficient energy-saving scheme using genetic algorithm for 5G heterogeneous networks
Energy-saving (ES) is becoming one of the most challenging tasks that fifth-generation (5G)
tends to tackle. The problem of identifying the optimal set cells to be turned off is …
tends to tackle. The problem of identifying the optimal set cells to be turned off is …
An analytical energy performance evaluation methodology for 5G base stations
The implementation of various base station (BS) energy saving (ES) features and the widely
varying network traffic demand makes it imperative to quantitatively evaluate the energy …
varying network traffic demand makes it imperative to quantitatively evaluate the energy …
Q-learning based radio resource adaptation for improved energy performance of 5G base stations
Radio resource adaptation (RRA) is an effective strategy to reduce the energy consumption
(EC) of a base station (BS) under variable input traffic demand. By combining RRA with …
(EC) of a base station (BS) under variable input traffic demand. By combining RRA with …
An efficient energy saving scheme using reinforcement learning for 5G and beyond in H-CRAN
Maximizing the energy saving is one of the most important metrics in 5G and Beyond (B5G)
cellular mobile networks. In order to satisfy the diverse requirements of 5G/B5G in dynamic …
cellular mobile networks. In order to satisfy the diverse requirements of 5G/B5G in dynamic …
Energy Efficiency in a Base Station of 5G Cellular Networks using M/G/1 Queue with Multiple Sleeps and N-Policy
Reducing energy consumption is the vital goal of green communication. Base station (BS) is
a radio receiver/transmitter that serves as the hub of the local wireless network. It is a …
a radio receiver/transmitter that serves as the hub of the local wireless network. It is a …
Advanced sleep modes in 5G multiple base stations using non-cooperative multi-agent reinforcement learning
AA Razzac, T Chahed, Z Shamseddine… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
We consider in this paper multiple 5G base stations (BSs) implementing Advanced Sleep
Modes (ASM) wherein each base station is able to deactivate some of its components when …
Modes (ASM) wherein each base station is able to deactivate some of its components when …
Integration of massive MIMO and machine learning in the present and future of power consumption in wireless networks: A review
The steady increase in data traffic rates and systems' complexity have contributed to the
information and communication technologies (ICT) sector's increased energy consumption …
information and communication technologies (ICT) sector's increased energy consumption …
A power consumption model and energy saving techniques for 5G-Advanced base stations
Aiming at minimizing the base station (BS) energy consumption under low and medium load
scenarios, the 3GPP recently completed a Release 18 study on energy saving techniques …
scenarios, the 3GPP recently completed a Release 18 study on energy saving techniques …